notion-automation

claude-office-skills/skills · updated Apr 8, 2026

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$npx skills add https://github.com/claude-office-skills/skills --skill notion-automation
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summary

Automate Notion databases and workflows with cross-platform integrations, templates, and intelligent triggers. Based on n8n's Notion workflow templates.

skill.md

Notion Automation

Automate Notion databases and workflows with cross-platform integrations, templates, and intelligent triggers. Based on n8n's Notion workflow templates.

Overview

This skill covers:

  • Database automation and triggers
  • Template and page creation
  • Cross-platform sync (Slack, Calendar, CRM)
  • Content management workflows
  • Team collaboration automation

Core Workflows

1. Form → Notion Database

workflow: "Form to Notion"
trigger: typeform_submission OR google_form

steps:
  1. capture_data:
      fields: [name, email, company, message, source]
      
  2. enrich_data:
      clearbit: lookup_by_email
      append: [company_size, industry]
      
  3. create_notion_page:
      database_id: "leads_database"
      properties:
        Name: "{name}"
        Email: "{email}"
        Company: "{company}"
        Status: "New"
        Source: "{source}"
        Created: "{timestamp}"
      content:
        - heading: "Contact Details"
        - text: "{message}"
        - divider
        - heading: "Enriched Data"
        - text: "Industry: {industry}, Size: {company_size}"
        
  4. notify:
      slack:
        channel: "#new-leads"
        message: "New lead: {name} from {company}"

2. Notion → Email Digest

workflow: "Weekly Notion Digest"
schedule: "Monday 9am"

steps:
  1. query_notion:
      database: "Tasks"
      filter:
        - property: "Due Date"
          date: this_week
        - property: "Status"
          not_equals: "Done"
          
  2. group_by_assignee:
      method: aggregate
      
  3. generate_digest:
      for_each: assignee
      template: |
        Hi {assignee},
        
        Here are your tasks for this week:
        
        {for task in tasks}
{task.title} - Due: {task.due_date}
        {endfor}
        
        Total: {task_count} tasks
        
  4. send_emails:
      to: each_assignee
      subject: "Your Weekly Task Digest"

3. Slack → Notion Task

workflow: "Slack to Notion Task"
trigger: slack_reaction (✅ emoji)

steps:
  1. capture_message:
      extract: [text, author, channel, timestamp, thread]
      
  2. parse_task:
      ai_extraction:
        title: extract_action_item
        due_date: extract_date_if_mentioned
        priority: infer_from_context
        
  3. create_notion_task:
      database: "Tasks"
      properties:
        Title: "{extracted_title}"
        Status: "To Do"
        Source: "Slack - #{channel}"
        Assignee: "{slack_user_to_notion_user}"
        Due Date: "{due_date}"
        Priority: "{priority}"
      content:
        - quote: "{original_message}"
        - text: "Created from Slack message"
        - link: "{slack_permalink}"
        
  4. thread_reply:
      slack:
        thread_ts: "{timestamp}"
        message: "✅ Task created in Notion: {notion_url}"

4. Calendar Sync

workflow: "Google Calendar ↔ Notion"
trigger: bidirectional

google_to_notion:
  trigger: calendar_event_created
  action:
    - create_notion_page:
        database: "Meetings"
        properties:
          Title: "{event.title}"
          Date: "{event.start}"
          Attendees: "{event.attendees}"
          Location: "{event.location}"
          Calendar Link: "{event.link}"

notion_to_google:
  trigger: notion_page_created
  filter: database == "Meetings"
  action:
    - create_calendar_event:
        title: "{page.Title}"
        start: "{page.Date}"
        description: "{page.Notes}"
        attendees: "{page.Attendees}"

5. Content Pipeline

workflow: "Content Publishing Pipeline"

database_structure:
  properties:
    - Title: title
    - Status: select [Idea, Writing, Review, Published]
    - Author: person
    - Due Date: date
    - Platform: multi_select [Blog, LinkedIn, Twitter]
    - Content: rich_text
    
automations:
  status_changed_to_review:
    - notify_slack: "#content-review"
    - assign_reviewer: round_robin
    - set_due_date: 3_days_from_now
    
  status_changed_to_published:
    - post_to_platforms: based_on_Platform_property
    - update_analytics_tracker: add_row
    - archive_after: 7_days

Database Templates

Project Management

project_database:
  name: "Projects"
  properties:
    - Name: title
    - Status: select
        options: [Planning, In Progress, Review, Complete]
    - Priority: select
        options: [P0, P1, P2, P3]
    - Owner: person
    - Team: multi_select
    - Start Date: date
    
how to use notion-automation

How to use notion-automation on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add notion-automation
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/claude-office-skills/skills --skill notion-automation

The skills CLI fetches notion-automation from GitHub repository claude-office-skills/skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/notion-automation

Reload or restart Cursor to activate notion-automation. Access the skill through slash commands (e.g., /notion-automation) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.735 reviews
  • Hiroshi Singh· Dec 24, 2024

    Keeps context tight: notion-automation is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Noah Ghosh· Dec 20, 2024

    notion-automation is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Ganesh Mohane· Dec 12, 2024

    notion-automation has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Mia Mensah· Nov 19, 2024

    notion-automation has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Mia Kim· Nov 11, 2024

    Solid pick for teams standardizing on skills: notion-automation is focused, and the summary matches what you get after install.

  • Hassan Perez· Oct 10, 2024

    Useful defaults in notion-automation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Noor Martin· Oct 2, 2024

    We added notion-automation from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Ira Farah· Sep 25, 2024

    notion-automation is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Rahul Santra· Sep 5, 2024

    Solid pick for teams standardizing on skills: notion-automation is focused, and the summary matches what you get after install.

  • Pratham Ware· Aug 24, 2024

    We added notion-automation from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

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